ai-ebash 0.2.23

Console utility for integrating artificial intelligence into a Linux terminal.

Ai-ebash!

Console utility for integrating artificial intelligence into a Linux terminal. Allows you to ask an AI question and execute the scripts and commands suggested by the AI in the terminal. It will be useful for novice Linux administrators.

The project is in the pre-alpha stage. In case of problems with the installation or operation of the Ai-bash utility, please contact me.

Features

• Sends requests to LLM from the command line with a simple command and receives responses in a formatted, easy-to-read form
• Supports dialog mode (key -d). By default, the quick questions mode with a return to the console works without a key.
• In the dialog mode, it allows you to run scripts proposed by the neural network (be careful!)

Requirements

• Python 3.11+

Installation

PyPi (pipx) Package (Debian/Ubuntu)

1. Install pipx (if not already installed):

sudo apt update
sudo apt install pipx python3-venv -y
pipx ensurepath

2. Restart the terminal or update the PATH:

source ~/.bashrc

3. Install ai-ebash:

pipx install ai-ebash

DEB Package (Debian/Ubuntu)

1. Download the latest DEB package from GitHub Releases
2. Install the package:

sudo dpkg -i ai-ebash_*.deb
# If there are dependency issues, run:
sudo apt-get install -f

Windows (experemental)

1. Install Python v3.11+ (if not already installed):

2. Open CMD or PowerShell and install ai-ebash:

pip install ai-ebash

3. Restart Windows

Example

ai Hello AI! Write example script.

or

ai -d Hello AI! Write example script.

Uninstall

To completely remove the utility:

If installed via pipx:

pipx uninstall ai-ebash

If installed via DEB package:

sudo apt remove ai-ebash
# Or for complete deletion, including configuration files:
sudo apt purge ai-ebash

If installed via Windows:

apt uninstall ai-ebash

You can also use dpkg.:

sudo dpkg -r ai-ebash
# Or for complete deletion, including configuration files:
sudo dpkg -P ai-ebash

Security

Do NOT execute arbitrary code returned by an LLM without review. Executing assistant-provided code has security and safety risks. Recommended mitigations:

Contributing

1. Localization to any languages
2. Fork the repo and create a feature branch.
3. Add tests for new behavior.
4. Open a PR with a clear description.

License

MIT

Contact

[e-mail]. Issues and PRs are welcome. Include logs and reproduction steps